The general framework of our approach, depicted in Figure 1, consists of three main phases: preprocessing, representation, and emotion classification.
While Ehrenfels' work sketched the larger picture and provided a general framework to approach Gestalt phenomena, many of the details were worked out subsequently by the Graz and Berlin schools of Gestalt psychology, formed by the students of Stumpf (Max Wertheimer, Kurt Koffka and Wolfgang Köhler) and Meinong (Stephan Witasek and Vittorio Benussi).
Although the above predictions are basically testable by phylogenetic approaches with our inventory data, we should not ignore the uncertainties for the general framework of the phylogenetic approach that were suggested in recent studies (e.g. Godoy et al. 2014), in addition to the pattern of phylogenetic niche lability (Losos 2008).
Such sufficient condition is given in terms of an LMI optimization problem; this gives the opportunity of fitting the finite-time control problem in the general framework of the LMI approach to the multi-objective synthesis.
Such sufficient condition is given in terms of an LMI optimization problem; this gives the opportunity of fitting the finite-time control problem in the general framework of the LMI approach to the multiobjective synthesis.
The general framework of the proposed approach is shown in Figure1; switch S1 is only closed in the second segment of the experiment.
The general framework of the variational approach for color images processing based on the linear RGB color models can be classified into two categories the channel-by-channel approach and the vectorial approach.
The general framework of the proposed sensitivity-based approach is presented and its application to steel frames with BRBs is described in detail.
We discuss about the general framework of our unsupervised and supervised approaches in Section 5.
We present a heuristic approach to solve a general framework of serial parallel redundancy problem where the reliability of the system is maximized subject to some general linear constraints.
In this paper we discuss the general framework of such problems and provide an outline of the systems engineering approaches that promise to address the above issues.
